Epoxy-Based/BaMnO4 Nanodielectrics: Dielectric Response and Energy Storage Efficiency

Compact capacitive energy storing/harvesting systems could play a key role in the urgent need for more energy-efficient technologies to address both energy and environmental issues. Therein, the purpose of the present work is to develop and investigate epoxy/BaMnO4 nanocomposites at various filler concentrations, which could be applicable as compact materials systems for energy storage and harvesting. Broadband dielectric spectroscopy was used for studying the dielectric properties and the relaxation processes of the examined nanodielectrics. The energy storing/retrieving ability of the nanocomposites was also evaluated via DC charge–discharge experiments. The coefficient of energy efficiency (neff) was found for all prepared nanocomposites to evaluate the energy performance of the systems. Dielectric data divulge the existence of two matrix-related relaxations, i.e., α-mode and β-mode, attributed to the glass-to-rubber transition of the polymer matrix and re-orientation of polar side groups, respectively. Interfacial polarization was also identified in the low-frequency and high-temperature region. The 7 phr BaMnO4 nanocomposite exhibits the best performance in terms of the stored and harvested energies compared to all systems. On the other hand, the 5 phr, 3 phr and 1 phr nanocomposites display optimum energy performance, reaching high values of neff.

Theoretical substantiation of optimum energy efficiency of ultrasonic wet dispersing

The known preliminary experimental results of ultrasonic dispersing of suspension were presented and analyzed. The need for determination optimum modes providing maximum energy efficiency of ultrasonic wet dispersing is justified. The physical mechanism and the theoretical model of ultrasonic dispersing were proposed. The model allows to calculate fraction composition of dispersed particles and to evaluate, that the maximum of energy efficiency exists at fixed intensity for different materials of solid particles.

Identification and Conformation of Bromadiolone Using HPLC and Molecular Dynamics Simulations

Rodenticides of warfarin group are mainly consisting of bromadiolone(3-(3-(4′-bromobiphenyl-4-yl)-3-hydroxy-1-phenylpropyl)-4-hydroxycoumarin), 3-bromofuran, zinc phosphide etc., having different chemical composition which are frequently used for attempting suicide, perpetrating homicide, accidental inhalation of human being while baiting rats, birds, rabbits in agricultural fields. Bromadiolone, strong and long-acting rodenticide, having anticoagulant properties and also acting as antagonist by disrupting the normal blood clotting mechanisms to vitamin-K, required for blood clotting, and increasing the bleeding tendency in rodents has been taken for finding its reaction mechanisms with different solvent media. The main symptoms of the bromadiolone rodenticides are dizziness, unsteady gait, and abnormal behavior. In the present study, we focused to determine the presence of Bromadiolone in ppm level using HPLC, the reaction mechanism of functional groups (ketone, alcohol, phenol) present in the bromadiolone under the solvent media such as H2O and HCl. The software, Avogadro, has been used to dynamically simulate the Bromadiolone for calculating its optimum energy and to conform the molecular structure under the influence of the water molecule. The reaction mechanism of functional groups in the bromadiolonecombined with the MD simulations may through light to reveal the enzymes activity in damaging the central nervous system which led to fatal.

Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission

The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.

Wind energy and the historic environment: A business-driven symbiosis approach

The present study discusses alternative ways of achieving optimum energy efficiency for historic buildings in areas where sustainable energy projects are planned. About 25% of Europe’s building stock was constructed before the mid-20th century and despite EU’s strenuous efforts for the protection and conservation of historic buildings and complexes, achieving energy efficiency with the minimum or preferably no intervention remains as a requirement. The settlement of Monemvasia, has been selected as our case study. A model building was chosen, its special characteristics are presented, and four solutions to the energy efficiency upgrade of the building were tested: (a) the application of internal insulation, (b) a heat pump installation, (c) the application of roof insulation, and (d) the replacement of the internal doorframes. The four scenarios were simulated via the TEE-KENAK software and the percentage of the annual energy saved through the application of each one of the mentioned measures was estimated. The results proved that installing a heat pump and internal insulation would maximise energy savings. Coupling the energy demand of the settlement in correlation with a wind energy project in the wider area, and the available curtailment was explored. The results showed that if 300 houses decide on acquiring their electricity consumption from the local wind independent power producer, at a price of EUR 35/MWh, the possible profit from the market could reach EUR100,000 per year. Such a business-driven concept could be extrapolated and evolve into a holistic wind energy and historic environment symbiosis setting.

System efficiency prediction of a 1kW capacity grid-tied photovoltaic inverter

<p>This article presents the system design and prediction performance of a 1kW capacity grid-tied photovoltaic inverter applicable for low or medium-voltage electrical distri-bution networks. System parameters, for instance, the longitude and latitude of the solar plant location, panel orientation, tilt and azimuth angle calculation, feasibility testing, optimal sizing of installment are analyzed in the model and the utility is sim-ulated precisely to construct an efficient solar power plant for residential applications. In this paper, meteorological data are computed to discuss the impact of environmen-tal variables. As regards ensuring reliability and sustenance, a simulation model of the system of interest is tested in the PVsyst software package. Simulation results yield that the optimum energy injected to the national grid from the solar plant, specific pro-duction, and performance ratio are 1676kWh/year, 1552kWh/kWp/year, and 79.29% respectively. Moreover, the predicted carbon footprint reduction is 23.467 tons during the 30 years lifetime of the system. Therefore, the performance assessments affirm the effectiveness of the proposed research.</p>

A novel methodology for optimum energy consumption in wireless sensor networks

PurposeThe purpose of this paper is to minimize energy usage by maximizing network life in the creation of applications and protocolsDesign/methodology/approachThis paper presents a novel methodology for optimum energy consumption in wireless sensor networks. The proposed methodology introduces some protocols and logarithms that effectively contributed to reducing energy consumption in these types of networks.FindingsThe results of that comparison showed the ability of those logarithms and protocols to reduce that energy but in varying proportions. It can be concluded that a significant reduction in energy consumption approximately 50% could be obtained by the proposed methodology.Originality/valueHere, a novel methodology for optimum energy consumption in wireless sensor networks has been introduced.

Optimum Energy Control of a Robotic Electric Vehicle at Time with Improved Control Assignment Approaches

Vehicles have made extraordinary commitment to the development of current culture by fulfilling the requirements for more prominent portability in everyday life. The development of Internal Combustion Engine has contributed a ton to the car area. In any case, a lot of harmful discharges as carbon dioxide (CO2), carbon monoxide (CO), nitrogen oxides (NOx), unburned hydrocarbons (HCs, etc have been messing contamination up, a dangerous atmospheric devation, and annihilation of the ozone layer. As the current pattern proposes, this method of transport is probably going to supplant inside burning motor (ICE) vehicles soon. Every one of the primary EV segments has various innovations that are at present being used or can get conspicuous later on. Improved control assignment approach strategies are fit for securing ideal force taking care of, obliging framework errors, and fitting ongoing applications can fundamentally improve the powertrain productivity at various working conditions. Rule-based techniques are just organized and effectively implementable continuously; however, a restricted optimality in force dealing with choices can be achieved. Enhancement based strategies are more fit for achieving this optimality at the cost of expanded computational burden. Over the most recent couple of years, these improvement based strategies have been being worked on to suit continuous application utilizing more prescient, recognitive and man-made reasoning apparatuses. This paper presents a conversation about these new patterns continuously improved control assignment approach. Consequently HEVs give better fuel economy contrasted with ICE based vehicles/regular vehicle. Energy management techniques are the calculations that choose the force split among motor constantly to improve the fuel economy and advance the presentation of HEVs.